| Course Description : | This course aims to provide an introduction to the basic concepts, techniques, and algorithms of digital
image processing. It explains the fundamental techniques of the following: acquisition of the digital
images (equipment, sampling, quantization, and color representation), enhancement of digital images
in spatial and in frequency domains (smoothing, sharpening, edge detection, thresholding, histogram
equalization, morphological operations, etc.), conversion the digital image into Fourier and other
transforms, feature identification, image compression, application to models of human and machine
vision. In addition, students will be able to apply the image processing techniques to solve real-world
problems in any domain. Specifically, students are required to work through a case study in the
healthcare domain and show how to deploy the image processing techniques to perform enhancement,
segmentation, analysis, diagnosis, etc. into the medical images. The course will also include practical
demonstrations on using the state-of-the-art Matlab-Image processing software package.
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